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Proceedings Paper

Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification
Author(s): Mirek Janatka; Krishan S. Ramdoo; Taran Tatla; Krittin Pachtrachai; Daniel S. Elson; Danail Stoyanov
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Paper Abstract

The tympanic membrane (TM) is the bridging element between the pressure waves of sound in air and the ossicular chain. It allows for sound to be conducted into the inner ear, achieving the human sense of hearing. Otitis media with effusion (OME, commonly referred to as ‘glue ear’) is a typical condition in infants that prevents the vibration of the TM and causes conductive hearing loss, this can lead to stunting early stage development if undiagnosed. Furthermore, OME is hard to identify in this age group; as they cannot respond to typical audiometry tests. Tympanometry allows for the mobility of the TM to be examined without patient response, but requires expensive apparatus and specialist training. By combining a smartphone equipped with a 240 frames per second video recording capability with an otoscopic clip-on accessory, this paper presents a novel application of Eulerian Video Magnification (EVM) to video-otology, that could provide assistance in diagnosing OME. We present preliminary results showing a spatio-temporal slice taken from an exaggerated video visualization of the TM being excited in vivo on a healthy ear. Our preliminary results demonstrate the potential for using such an approach for diagnosing OME under visual inspection as alternative to tympanometry, which could be used remotely and hence help diagnosis in a wider population pool.

Paper Details

Date Published: 3 March 2017
PDF: 7 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101341Y (3 March 2017); doi: 10.1117/12.2253729
Show Author Affiliations
Mirek Janatka, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)
Krishan S. Ramdoo, Northwich Park Hospital (United Kingdom)
Taran Tatla, Northwich Park Hospital (United Kingdom)
The Hamlyn Ctr., Imperial College London (United Kingdom)
Krittin Pachtrachai, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)
Daniel S. Elson, The Hamlyn Ctr., Imperial College London (United Kingdom)
Danail Stoyanov, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato III; Nicholas A. Petrick, Editor(s)

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